概率系数的理论框架:故障检测的一种新方法

A.K. Singh, A. Mohan
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引用次数: 1

摘要

描述了一种新的谱法,在确定实现给定布尔函数的组合电路的特征时,消除了内积求值的需要。利用函数的概率系数代替传统的谱特征来获得特征。根据计算“n”变量函数的所有2n个概率系数所需的加法,建立了可实现的计算优势的理论关系。结果表明,与谱系数相比,对于nges 5,计算所有概率系数只需要50%的加法。基于谱特征的故障检测技术可以与概率特征相结合,具有计算优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Theoretical Framework for Probability Coefficients: A New Methodology for Fault Detection
A new spectral method that eliminates the need of inner product evaluations in determination of signature of a combinational circuit realizing given Boolean function is described. The signature is obtained using probability coefficients of the function instead of conventional spectral signature. Theoretical relations for achievable computational advantage in terms of required additions in computing all 2n probability coefficients of "n" variable function have been developed. It is shown that for n ges 5, only 50% additions are needed to compute all probability coefficients as compared to spectral coefficients. The fault detection techniques based on spectral signature can be used with probability signature also to offer computational advantage.
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